Cover of: Rate-Distortion Based Video Compression | Guido M. Schuster

Rate-Distortion Based Video Compression

Optimal Video Frame Compression and Object Boundary Encoding
  • 288 Pages
  • 2.15 MB
  • 8062 Downloads
  • English
by
Springer US , Boston, MA
Multimedia systems, Computer vision, Computer sc
About the Edition

This is the first book about the rapidly evolving field of operational rate distortion (ORD) based video compression. ORD is concerned with the allocation of available bits among the different sources of information in an established coding framework. Today"s video compression standards leave great freedom in the selection of key parameters, such as quantizers and motion vectors. The main distinction among different vendors is in the selection of these parameters, and this book presents a mathematical foundation for this selection process. The book contains a review chapter on video compression, a background chapter on optimal bit allocation and the necessary mathematical tools, such as the Lagrangian multiplier method and Dynamic Programming. These two introductory chapters make the book self-contained and provide a fast way of entering this exciting field. Rate-Distortion Based Video Compression establishes a general theory for the optimal bit allocation among dependent quantizers. The minimum total (average) distortion and the minimum maximum distortion cases are discussed. This theory is then used to design efficient motion estimation schemes, video compression schemes and object boundary encoding schemes. For the motion estimation schemes, the theory is used to optimally trade the reduction of energy in the displaced frame difference (DFD) for the increase in the rate required to encode the displacement vector field (DVF). These optimal motion estimators are then used to formulate video compression schemes which achieve an optimal distribution of the available bit rate among DVF, DFD and segmentation. This optimal bit allocation results in very efficient video coders. In the last part of the book, the proposed theory is applied to the optimal encoding of object boundaries, where the bit rate needed to encode a given boundary is traded for the resulting geometrical distortion. Again, the resulting boundary encoding schemes are very efficient. Rate-Distortion Based Video Compression is ideally suited for anyone interested in this booming field of research and development, especially engineers who are concerned with the implementation and design of efficient video compression schemes. It also represents a foundation for future research, since all the key elements needed are collected and presented uniformly. Therefore, it is ideally suited for graduate students and researchers working in this field.

Statementby Guido M. Schuster, Aggelos K. Katsaggelos
ContributionsKatsaggelos, Aggelos K.
Classifications
LC ClassificationsTA1637-1638
The Physical Object
Format[electronic resource] :
Pagination1 online resource (xx, 288 p.)
ID Numbers
Open LibraryOL27084450M
ISBN 101441951725, 1475725663
ISBN 139781441951724, 9781475725667
OCLC/WorldCa851704848

Rate-Distortion Based Video Compression: Optimal Video Frame Compression and Object Boundary Encoding [Schuster, Guido M., Katsaggelos, Aggelos] on *FREE* shipping on qualifying offers.

Rate-Distortion Based Video Compression: Optimal Video Frame Compression and Object Boundary EncodingCited by: Rate-Distortion Based Video Compression: Optimal Video Frame Compression and Object Boundary Encoding [Guido M.

Schuster, Aggelos Katsaggelos] on *FREE* shipping on qualifying offers. One of the most intriguing problems in video processing is the removal of the redundancy or the compression of a video signal.

There are a large number of applications which depend on video. One of the most intriguing problems in video processing is the removal of the redundancy or the compression of a video signal. There are a large number of applications which depend on video compressio Rate-Distortion Based Video Compression Optimal Video Frame Compression and Object Boundary Encoding.

Authors About this book. Get this from a library. Rate-distortion based video compression: optimal video frame compression and object boundary encoding. [Guido M Schuster; Aggelos Konstantinos Katsaggelos] -- The book contains a review chapter on video compression, a background chapter on optimal bit allocation and the necessary mathematical tools, such as the Lagrangian multiplier method and Dynamic.

Get this from a library. Rate-Distortion Based Video Compression: Optimal Video Frame Compression and Object Boundary Encoding.

[Guido M Schuster; Aggelos K Katsaggelos] -- This is the first book about the rapidly evolving field of operational rate distortion (ORD) based video compression. ORD is concerned with the allocation of available bits among the different.

Rate--Distortion Methods in Image and Video Compression Article (PDF Available) in IEEE Signal Processing Magazine 15(6) November with Reads How we measure 'reads'.

Schuster holds over 50 U.S. patents in fields ranging from adaptive control over video compression to Internet telephony. He is the co-author of the book Rate-Distortion Based Video Compression (Kluwer Academic Publishers) and has published over 60 peer reviewed journal, proceedings, and book articles.

This chapter covers multimedia compression techniques and standards: (a) JPEG compression standard for full-color still image applications, (b) H standard for video-based communications, and. Rate-Distortion Based Video Compression: Optimal Video Frame Compression And Object Boundary Encoding - Hardcover quantity Add to cart SKU: Categories: Coding Theory, Computers & Technology, Hardcover, Programming, Software Design, Testing & Engineering Tags:, English, Guido M.

Schuster, Hardcover. In signal processing, data compression, source coding, or bit-rate reduction is the process of encoding information using fewer bits than the original representation. Any particular compression is either lossy or ss compression reduces bits by identifying and eliminating statistical information is lost in lossless compression.

Description Rate-Distortion Based Video Compression FB2

Abstract. In this chapter we review the most popular lossy video compression schemes. There have been several excellent reviews published in the past [, 85,52, ] and this review is strongly influenced by these by: 1.

This paper presents a rate-distortion based selective decoding for pixel-domain distributed video compression (DVC) system. In the proposed system, the Wyner-Ziv frames are divided into several sub-images.

Each of these sub-images is encoded and decoded by: 8. Performance is often presented as a rate distortion curve where signal distortion measurements are displayed as a function of the bit rate P BR. Such curves are shown in Figure for two different transform-based compression methods, the KLT and DWPT, with P.

In this paper, a rate-distortion based quantization level adjustment (RDQLA) algorithm is presented. Based on rate-distortion criterion, the quantization level adjustment algorithm effectively improves coding efficiency by adaptively optimizing quantization levels of the signals near the boundaries of quantization cells and adjusting quantization levels per block.

Uses the state-of- the-art video coding standard (H/AVC) as a basis for algorithm development in the context of block based compression; Insight into future video coding standards such as the new ISO/ITU High Efficiency Video Coding (HEVC) initiative, which extends and generalizes the H/AVC approach.

Video Compression With Rate-Distortion Autoencoders Amirhossein Habibian, Ties van Rozendaal, Jakub M. Tomczak, Taco S. Cohen Qualcomm AI Research, Amsterdam, the Netherlands fhabibian, ties, jtomczak, [email protected] Abstract In this paper we present a a deep generative model for lossy video compression.

We employ a model that con-Cited by: 4. Advanced technologies have increased demands for visual information and higher quality video frames, as with 3-D movies, games, and HDTV.

This taxes the available technologies and creates a gap between the huge amount of visual data required for multimedia applications and the still-limited hardware capabilities. Image and Video Compression for Multimedia Engineering bridges the gap with /5(2).

Video Coding Basics Yao Wang Polytechnic University, Brooklyn, NY [email protected] Size: KB. T1 - A resolution adaptive video compression system. AU - Uslubas, Serhan.

AU - Maani, Ehsan. AU - Katsaggelos, Aggelos K.

Download Rate-Distortion Based Video Compression PDF

PY - /3/ Y1 - /3/ N2 - Modern video encoding systems employ block-based,multi-mode, spatio-temporal prediction methods in order to Cited by: 8. ©Yao Wang, Waveform-based video coding 26 Note that one can think of each candidate MV (and reference frame) as a possible mode, and determine the optimal MV (and reference frame) using this frame work Rate-distortion optimized motion estimation.

Liao and J. Gibson, Rate-distortion Based Mode Selection for Video Coding over Wireless Networks with Burst Losses, Packet Video Workshop, Seattle, WA, May [ pdf ] M. Bhaskaranand and J. Gibson, Distributions of 3D DCT Coefficients for Video, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP' Wavelet Image and Video Compression is divided into four parts.

Part I, Background Material, introduces the basic mathematical structures that underly image compression algorithms with the intention of providing an easy introduction to the mathematical concepts that are prerequisites for the remainder of the book.

It explains such topics as. graph. Based on the fundamentals of information and rate distortion theory, the most relevant techniques used in source coding algorithms are described: entropy coding, quantization as well as predictive and transform coding.

The emphasis is put onto algorithms that are also used in video coding, which will be explained in the other part of thisCited by: His research interests include image/video, light field and point cloud compression, deep learning based compression schemes, image/video denoising and super-resolution, video hashing and identification, as well as the video communication system issues like joint source-channel coding, rate-distortion optimization and communication resource.

However, the bit rate of portrait video cannot be accurately modeled by a rate-distortion function as in DCT-based schemes. How to effectively control the bit rate is a hard challenge for portrait video. In this paper, we propose a novel model-based rate-control by: 3.

image compression. However, video compression has so far resisted the DL rev-olution, with the very few proposed approaches being based on complex and im-practical architectures with multiple networks.

This paper proposes what we be-lieve is the first approach to end-to-end learning of a single network for video by: 2. • An earlier digital video compression standard, its principle of Motion Compensation-based compression is retained in all later video compression standards.

• Designed for videophone, video conferencing and other audiovisual services over ISDN. • The video codec supports bit-rates of px64 kbps, where p. Data Compression Conference (dcc ) > Abstract To overcome the computational complexity in making optimized rate-distortion coding decisions (due to the calculation of actual rate) we propose a rate estimation scheme based on the maximum likelihood parameter estimation (MLPE) method.

The videos are encoded using High Efficiency Video Coding (HEVC) reference codec at different quantization scales and their Rate-Distortion (RD) curves are modelled using linear regression. Using the extracted features and the fitted parameters of the RD model, a Support Vector Regression Model (SVRM) is trained to learn the relationship of the Cited by: 4.

Decode To Encode is the only book that answers the hows and whys of elements in H, H and VP9. It provides video engineers and students details on the fundamentals of all the video compression standards. Coming from an experienced video codec engineer and product enthusiast, the book is writt.

Details Rate-Distortion Based Video Compression FB2

Compression for Multimedia Providing a thorough theoretical understanding of lossy compression techniques for image, video, speech, and audio compression, this book also covers the key features of each system, as well as practical applications, implementation issues, and design ers, and the Blahut rate-distortion algorithm.

Examples based.a theoretical rate-distortion model based on the mathematical models of a video source and the models of the MPEG-2 encoding process. It then proposes and evaluates a rate-distortion estimation algorithm based on the derived model. Finally, it presents the experimental data to verify the accuracy of the proposed model.Video Codec Design provides communications engineers, system designers, researchers and technical managers with an essential handbook to image and video compression technology.

The clear presentation and emphasis on real-life examples make this book an excellent teaching tool for computer science and electronic engineering instructors.